What-is and How-to for Fairness in Machine Learning: A Survey,
Reflection, and Perspective

What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective

8 June 2022

Papers citing "What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective"

11 / 11 papers shown

Title
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 63 0 0 10 Nov 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 49 3 0 10 Jun 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models Jorge Paz-Ruza Amparo Alonso-Betanzos B. Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco 48 2 0 19 Jan 2024
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 126 45 0 12 Jul 2022
Unfairness Despite Awareness: Group-Fair Classification with Strategic Agents Andrew Estornell Sanmay Das Yang Liu Yevgeniy Vorobeychik FaML 16 10 0 06 Dec 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 54 55 0 16 Feb 2021
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 70 82 0 13 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 213 673 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 187 2,082 0 24 Oct 2016
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 141 434 0 20 Feb 2013